Пример #1
0
    void DebugDrawCluster()
    {
        WAudioAnalysis.AudioSpectrumDataCache audioSpectrumCache = JAudioAnalysis_offlineSpectrum.Instance().m_audioSpectrumCache;
        int m_spectrumSize = JAudioAnalysis.spectrumSize;

        int   last_draw_x      = -1;
        float all_pixel_width  = Mathf.Log(m_spectrumSize);
        float each_pixel_width = all_pixel_width / width;

        for (int x = 0; x < m_spectrumSize; ++x)
        {
            int draw_x = (int)(Mathf.Log(x + 1) / all_pixel_width * width);
            if (draw_x == last_draw_x)
            {
                continue;
            }
            if (draw_x >= width)
            {
                break;
            }
            for (int y = 0; y < audioSpectrumCache.size && y < height; ++y)
            {
                float amp = audioSpectrumCache.spectrumCache[y, x];
                Color c   = m_spectrumColorIdx[y, x] == 0 ? Color.blue : (m_spectrumColorIdx[y, x] == 1 ? Color.green : Color.red);
                for (int step_x = last_draw_x < 0 ? 0 : last_draw_x; step_x <= draw_x; ++step_x)
                {
                    m_texture.SetPixel(step_x, y, c);
                }
            }
            last_draw_x = draw_x;
        }
        m_texture.Apply();
    }
Пример #2
0
    void DebugCalCluster()
    {
        WAudioAnalysis.AudioSpectrumDataCache audioSpectrumCache = JAudioAnalysis_offlineSpectrum.Instance().m_audioSpectrumCache;
        int cacheSize    = audioSpectrumCache.size;
        int spectrumSize = JAudioAnalysis.spectrumSize;

        m_spectrumColorIdx = new int[cacheSize, spectrumSize];
        for (int spectrum_idx = 0; spectrum_idx < spectrumSize; ++spectrum_idx)
        {
            float[] data_cache = new float[cacheSize];
            for (int idx = 0; idx < cacheSize; ++idx)
            {
                data_cache[idx] = audioSpectrumCache.GetData(idx, spectrum_idx);
            }
            float[] cluster;
            int[]   classify;
            WAudioAnalysis.Cluster.Analysis(ref data_cache, 3, out cluster, out classify);
            for (int cache_idx = 0; cache_idx < cacheSize; ++cache_idx)
            {
                m_spectrumColorIdx[cache_idx, spectrum_idx] = classify[cache_idx];
            }
        }
    }
    void FormatWholeTexture()
    {
        WAudioAnalysis.AudioSpectrumDataCache m_audioSpectrumCache = JAudioAnalysis_offlineSpectrum.Instance().m_audioSpectrumCache;
        int   m_spectrumSize = JAudioAnalysis.spectrumSize;
        float m_ampMin       = JAudioAnalysis.Instance().ampMin;
        float m_ampMax       = JAudioAnalysis.Instance().ampMax;

        int   last_draw_x      = -1;
        float all_pixel_width  = Mathf.Log(m_spectrumSize);
        float each_pixel_width = all_pixel_width / width;

        for (int x = 0; x < m_spectrumSize; ++x)
        {
            int draw_x = (int)(Mathf.Log(x + 1) / all_pixel_width * width);
            if (draw_x == last_draw_x)
            {
                continue;
            }
            if (draw_x >= width)
            {
                break;
            }
            for (int y = 0; y < m_audioSpectrumCache.size && y < height; ++y)
            {
                float amp   = m_audioSpectrumCache.spectrumCache[y, x];
                float ratio = (amp - m_ampMin) / Mathf.Max(1, m_ampMax - m_ampMin) * 5;
                Color c     = new Color(ratio, 0, 0, 1);
                for (int step_x = last_draw_x < 0 ? 0 : last_draw_x; step_x <= draw_x; ++step_x)
                {
                    m_texture.SetPixel(step_x, y, c);
                }
            }
            last_draw_x = draw_x;
        }
        m_texture.Apply();
    }